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From the 1 of 52 linked papers with an AI index.

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20082026
most citedTask-Driven Dictionary Learning

840 citations · 2.7k across the 42 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.RO2022

A minimum swept-volume metric structure for configuration space

Yann de Mont-Marin, Jean Ponce, Jean-Paul Laumond

Borrowing elementary ideas from solid mechanics and differential geometry, this presentation shows that the volume swept by a regular solid undergoing a wide class of volume-preser…

cs.CV2022

WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction

Guillaume Le Moing, Jean Ponce, Cordelia Schmid

This paper presents WALDO (WArping Layer-Decomposed Objects), a novel approach to the prediction of future video frames from past ones. Individual images are decomposed into multip…

cs.RO2022

Learning Reward Functions for Robotic Manipulation by Observing Humans

Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal +2

Observing a human demonstrator manipulate objects provides a rich, scalable and inexpensive source of data for learning robotic policies. However, transferring skills from human vi…

cs.CV2022★ 13 cited

VICRegL: Self-Supervised Learning of Local Visual Features

Adrien Bardes, Jean Ponce, Yann LeCun

Most recent self-supervised methods for learning image representations focus on either producing a global feature with invariance properties, or producing a set of local features.…

cs.CV2022

High Dynamic Range and Super-Resolution from Raw Image Bursts

Bruno Lecouat, Thomas Eboli, Jean Ponce +1

Photographs captured by smartphones and mid-range cameras have limited spatial resolution and dynamic range, with noisy response in underexposed regions and color artefacts in satu…

cs.CV2022★ 3 cited

Active Learning Strategies for Weakly-supervised Object Detection

Huy V. Vo, Oriane Siméoni, Spyros Gidaris +3

Object detectors trained with weak annotations are affordable alternatives to fully-supervised counterparts. However, there is still a significant performance gap between them. We…